A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion

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Haze correction for contrast-based multispectral pansharpening

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Detail injection-based deep convolutional neural networks for pansharpening

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Remote sensing image fusion based on two-stream fusion network

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Hyperspectral image super-resolution via deep spatiospectral attention convolutional neural networks

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Swin transformer: Hierarchical vision transformer using shifted windows. In ICCV . 10012–10022

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Dynamic cross feature fusion for remote sensing pansharpening. In ICCV . 14687–14696

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Simple baselines for image restoration. In ECCV . Springer, 17–33

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Machine Learning in Pansharpening: A benchmark, from shallow to deep networks

Liang-jian Deng, Gemine Vivone, Mercedes E. Paoletti, Giuseppe Scarpa, Jiang He, Yongjun Zhang, Jocelyn Chanussot, and Antonio Plaza. 2022 · 2022

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Fusformer: A transformer-based fusion network for hyperspectral image super-resolution

Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou, Danfeng Hong, and Gemine Vivone. 2022 · 2022

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Learning a 3D-CNN and transformer prior for hyperspectral image super-resolution

Qing Ma, Junjun Jiang, Xianming Liu, and Jiayi Ma. 2023 · 2023

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PanDiff: A Novel Pansharpening Method Based on Denoising Diffusion Probabilistic Model

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Dual Spatial-spectral Pyramid Network with Transformer for Hyperspectral Image Fusion

Yucheng Sun, Han Xu, Yong Ma, Minghui Wu, Xiaoguang Mei, Jun Huang, and Jiayi Ma. 2023 · 2023

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Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion

Xin Tian, Kun Li, Wei Zhang, Zhongyuan Wang, and Jiayi Ma. 2023 · 2023

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Multispectral and hyperspectral image fusion in remote sensing: A survey

Gemine Vivone. 2023 · 2023

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